Events

Notes from the 4th Insurance Data Science event

Almost 200 participants attended the fourth edition of the “Insurance Data Science Conference” held at Università Cattolica del Sacro Cuore on Thursday 16 and Friday 17 June 2022. “It is a great pleasure host this conference especially for the privilege to have such a distinguished set of speakers for the event from many countries all over the world”, said Dean of the School of Banking, Finance and Insurance Elena Beccalli opening the two-day conference on Thursday 16 June together with Markus Gesmann - Member of the Scientific committee of IDS and Nino Savelli, Member of the Scientific committee of IDS and head of the organising committee of IDS in Catholic University.

Notes from the 3rd Insurance Data Science event

Finally, the Insurance Data Science conference was back last week. After last year’s cancellation due to Covid-19 over 250 delegates from around the world came together on-line for the third instalment of the conference. The event kicked-off, or should we say lifted off, with a keynote by Thomas Wiecki, CEO of PyMC Labs, on Wednesday. Thomas explained how probabilistic programming can be used to assess risk and make decision in the context of insuring rocket launches.

Notes from the 2nd Insurance Data Science event

The second Insurance Data Science Conference at RiskLab (ETH Zurich) followed on from its first edition at Cass Business School (London) and five iterations of the R in Insurance conferences. This one-day conference was an exciting international event that brought together industry and academia in the fields of insurance and computer sciences. This one-day conference was an exciting international event that brought together industry and academia in the fields of insurance and computer sciences.

Notes from the 1st Insurance Data Science event

The first Insurance Data Science event was held at Cass Business School last week, 16 - 17 July 2018. The conference followed on from five iterations of the R in Insurance events, which have the aim of bringing together practitioners and academics together to discuss and exchange ideas and needs in the sector. Expanding the remit from R in Insurance to Insurance Data Science has also attracted talks on Python and Tensorflow.